This Chartis RiskTech report recognizes SAS' strengths to include:
- Broad, integrated data engineering in a single platform,
- Operational readiness with orchestration, DevOps and governance,
- Openness for multi‑coding languages and multi‑engine execution, and
- AI‑assisted engineering and synthetic data for productivity and privacy.
SAS’ AML transaction monitoring solution demonstrates strong applicability across core financial services verticals, including retail and wholesale banking, capital markets and non-banking financial institutions (such as FinTechs). The solution’s analytical flexibility also applies across a range of regulated use cases, supporting adoption beyond traditional banking."
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網路研討會
Breaking the Silos: What Global Banks Reveal About the Future of FRAML -
網路研討會
Beyond Campaigns: How Marketing Decisioning Drives Real-Time Customer Engagement -
分析報告
SAS is a Leader in The Forrester Wave™: Financial Crime Management Solutions, Q3 2026 -
客戶案例
Intelligent, real-time fraud decisions in 50 milliseconds -
網路研討會
The Sector Series | Game Changing AI Technology for Governments: Computer Vision -
分析報告
The Forrester Wave™: Real-Time Interaction Management, Q4 2025 -
客戶案例
自動化信用決策，邁向數位優先的未來 -
分析報告
Datos Matrix: Fraud and AML Case Management, 2025 -
網路研討會
Credit Risk Decisioning Using Intelligent Decisioning on SAS® Viya® -
電子書
Decisions you can trust: A strategic guide to trustworthy data and AI decision making -
電子書
The strategic bank playbook: Transforming insights into impact -
白皮書
Building a foundation for innovation: Five steps to keep your AML program efficient and effective -
白皮書
Explainable Artificial Intelligence for Anti-Money Laundering -
白皮書
How AI and Machine Learning Are Redefining Anti-Money Laundering -
白皮書
Rethinking risk: Smarter models, better decisions -
電子書
5 Steps to a Unified Enterprise Customer Decisioning Strategy -
分析報告
IDC MarketScape：2024 年全球決策情報 -
客戶案例
European Banking-as-a-Service leader strengthens its AML/CFT and fraud surveillance system with SAS -
客戶案例
Jakarta Smart City uses IoT analytics to better serve residents -
文章
4 strategies that will change your approach to fraud detection -
客戶案例
Combating financial crime and terrorism financing with real-time sanctions screening -
白皮書
Proactive anti-financial crime strategies to improve compliance and reduce risk -
客戶案例
Modern, real-time marketing increases customer loyalty and revenue for property management company and its retail tenants -
客戶案例
Stopping payment fraud in real time -
客戶案例
Finland’s top retail bank applies AI to improve customer service and credit scoring -
客戶案例
Real-time analytics helps telecom provider adapt to changing customer needs during global pandemic and beyond -
客戶案例
Fighting financial crime through a global anti-money laundering platform -
客戶案例
Complex telco product portfolio, maximum agility thanks to intelligent decisioning -
文章
Managing fraud risk: 10 trends you need to watch -
客戶案例
A risk-based approach to combat money laundering in Israel -
白皮書
AI Is at the Forefront of Reducing Money Laundering and Combating the Financing of Terrorism -
客戶案例
Preventing crime and ensuring compliance at 120 Nordic banks -
客戶案例
洗錢防制 -
文章
Mobile payments, smurfs and emerging threats -
文章
Rethink customer due diligence -
網路研討會
Orchestrating Your Multi-Wave Campaigns Through Scheduled Journeys -
網路研討會
ESP Project Containers – How to Enhance ESP Models Deployment and Operationalization -
網路研討會
Real-Time Agent Assist and Next-Gen Strategy for Financial Services -
網路研討會 Reinforcing Compliance Programs: Future-Proofing with SAS
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網路研討會
2022 Trends in Digital Fraud: ATOs, Scams and Solutions -
網路研討會
Shell game shutdown: Redefining trade transaction monitoring with automation and analytics -
網路研討會
Journey to AML Modernization -
網路研討會
Generative AI Meets AML: Elevating Compliance Standards in Banking -
網路研討會
Real-Time Watchlist Screening: Unlocking Efficiency and Compliance With SAS and Neterium -
網路研討會
Not All Heroes Wear Capes: How AI and Data Help Stop Money Laundering in the Opioid Crisis -
網路研討會
The Sector Series | Game Changing AI Technology for Governments: Machine Learning -
網路研討會
Empowering Government Efficiency with SAS Managed Cloud Services on Microsoft Azure Government -
白皮書
Intelligent Decision Automation for Telecommunications in the Digital Age -
電子書
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FAQs
What is the Chartis RiskTech Quadrant for AML transaction monitoring solutions report?
It’s an independent analysis that evaluates AML transaction monitoring solutions, highlighting vendor strengths and market trends.
Why is SAS recognized as a leader?
In this Chartis evaluation, SAS stands out for its integrated data engineering platform, operational readiness, support for multiple coding languages, and AI-assisted analytics.
How can SAS help my organization with AML transaction monitoring solutions?
SAS automates manual investigative processes, detecting complex threats with industry-leading AI and machine learning capabilities.
What does "AML transaction monitoring" mean?
It refers to the process of continuously analyzing financial transactions to detect, report and manage potentially suspicious activity.